Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.physa.2009.09.006
DC FieldValue
dc.titleDetecting community structure from coherent oscillation of excitable systems
dc.contributor.authorLi, X.
dc.contributor.authorLi, M.
dc.contributor.authorHu, Y.
dc.contributor.authorDi, Z.
dc.contributor.authorFan, Y.
dc.date.accessioned2014-12-12T07:31:02Z
dc.date.available2014-12-12T07:31:02Z
dc.date.issued2010-01-01
dc.identifier.citationLi, X., Li, M., Hu, Y., Di, Z., Fan, Y. (2010-01-01). Detecting community structure from coherent oscillation of excitable systems. Physica A: Statistical Mechanics and its Applications 389 (1) : 164-170. ScholarBank@NUS Repository. https://doi.org/10.1016/j.physa.2009.09.006
dc.identifier.issn03784371
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/115671
dc.description.abstractMany networks are proved to have community structures. On the basis of the fact that the dynamics on networks are intensively affected by the related topology, in this paper the dynamics of excitable systems on networks and a corresponding approach for detecting communities are discussed. Dynamical networks are formed by interacting neurons; each neuron is described using the FHN model. For noisy disturbance and appropriate coupling strength, neurons may oscillate coherently and their behavior is tightly related to the community structure. Synchronization between nodes is measured in terms of a correlation coefficient based on long time series. The correlation coefficient matrix can be used to project network topology onto a vector space. Then by the K-means cluster method, the communities can be detected. Experiments demonstrate that our algorithm is effective at discovering community structure in artificial networks and real networks, especially for directed networks. The results also provide us with a deep understanding of the relationship of function and structure for dynamical networks. © 2009 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.physa.2009.09.006
dc.sourceScopus
dc.subjectCoherent oscillation
dc.subjectCommunity structure
dc.subjectExcitable system
dc.subjectNetwork
dc.typeArticle
dc.contributor.departmentTEMASEK LABORATORIES
dc.description.doi10.1016/j.physa.2009.09.006
dc.description.sourcetitlePhysica A: Statistical Mechanics and its Applications
dc.description.volume389
dc.description.issue1
dc.description.page164-170
dc.description.codenPHYAD
dc.identifier.isiut000271685900019
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